26 to 50 of 439 Machine Learning Jobs in London

LLMs) and generative AI. In this pivotal role, you will be responsible for developing and implementing a forward-looking IAM program tailored to the complexities of CDAO & AI/ML data platforms. You will anticipate emerging threats, challenge the status quo, and apply your expert judgment to solve real-world challenges that impact our company, our customers, and our communities. … artificial intelligence, we invite you to join our dynamic team. Job Responsibilities: Pioneer a Visionary IAM Strategy: Develop and execute a comprehensive IAM roadmap for our CDAO & AI/ML data platforms, incorporating the latest advancements in securing LLMs, machine learning models, and the entire AI development lifecycle. Secure the AI Ecosystem: Engineer robust access control mechanisms for … large-scale datasets, model training and inference environments, and the AI/ML supply chain. This includes defining and managing identities for human users, AI models, and autonomous agents. Mitigate Emerging AI-Specific Risks: Conduct in-depth assessments of IAM technologies and processes to identify and address vulnerabilities inherent to AI systems, such as prompt injection, data poisoning, and model More ❯

Back End Engineer - Java, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Remote or Hybrid - You choose!) Back End Engineer:- You will be joining a fast-growing, research-driven company building an artificial intelligence using novel machine learning techniques. My client is revolutionising their industry with a track record of building things that … knowledge of Cloud Technologies (AWS) and Microservices Degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience in engineering. Experience or interest in AI or Machine Learning Salary for the Back End Engineer (Java) will depend on experience, but expect between £50,000 and £70,000 + Pension + benefits Other benefits include:- Free … games etc.) The latest tech, generous annual leave and an amazing office with a balcony overlooking Notting Hill. Back End Engineer - Java, Python, AWS, MySQL, NoSql, REST APIs, Microservices, Machine Learning, Artificial intelligence (Remote or Hybrid - You choose!) Applicants must have the right to work in the UK, no sponsorship is offered for this role More ❯

will support our goal of sustained growth and superior returns, as we deliver significant value and impact across our businesses. The Role As an intern with the AI/ML Center of Excellence on the UK Team, you will contribute to the development and deployment of advanced AI solutions that support key business objectives such as cost savings and revenue … growth. Under the guidance of experienced team members, you will participate in AI/ML projects across various domains, gaining hands-on experience in areas like deep learning, time series forecasting, reinforcement learning, optimization, speech and conversational AI, and Graph AI. You will also have the opportunity to support initiatives related to foundational AI models and intelligent agents. … with relevant regulations. Collaboration with cross-functional teams and stakeholders will be a key part of your experience, providing exposure to both technical and business aspects of AI/ML initiatives. Key Responsibilities: Assist in the development and testing of AI/ML models, including deep learning (RNN, CNN, embeddings, transformer/LLM), time series forecasting, reinforcement learning More ❯

days/week in office) Up to £120k Shares Benefits A fast-growing Data & AI company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious projects, shaping the architecture, direction, and delivery of advanced AI initiatives. What you’ll do Lead the design and development … of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest AI frameworks, libraries, and cloud tools. Champion best practices in model deployment, evaluation, and … optimisation. What we’re looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent More ❯

and superior returns, as we deliver rare value and impact across our businesses. The Role As a Senior Associate, Data Scientist, you'll work alongside experienced data scientists and ML engineers to design, develop, and apply data-driven models and analyses that deliver measurable business value. Reporting to the Executive Director of AI Science, you'll gain hands-on experience … addressing business-critical challenges across diverse domains. Conduct exploratory data analysis, feature engineering, and hypothesis testing to uncover patterns and support model development. Collaborate with senior data scientists and ML engineers to refine models, improve accuracy, and enhance interpretability. Support the design and evaluation of experiments and A/B tests, ensuring rigorous measurement of impact. Clean, transform, and prepare … Ontology), including developing analytical workflows and deploying insights within enterprise environments. PhD in Data Science, Statistics, Computer Science, or a related quantitative field. Publications in top data science/ML conferences or journals (e.g., NeurIPS, ICML, KDD, ACL, or similar). Open-source contributions to the data science or ML community (libraries, notebooks, packages, or tutorials). Experience presenting research More ❯

models is continuously validated by experienced in-house energy analysts and traders and domain experts to ensure reliability of our predictions. You'll be instrumental in designing and building ML infrastructure and applications to propel the design, deployment, and monitoring of existing and new ML pipelines and models. Working with software engineers, data scientists, and energy analysts and traders, you … ll help bridge the gap between research experiments and production energy systems by ensuring 100% uptime and bulletproof fault-tolerance of every component of our ML platform. Requirements You Are: Experienced in building and deploying distributed scalable ML pipelines that can process large volumes of energy data daily using Kubernetes and MLflow With solid machine learning engineering fundamentals … traders and technology experts, where constructive challenges and technical debates are encouraged Excited about working in a dynamic environment: not afraid of complex energy challenges, eager to bring new ML innovations to production, and a positive can-do attitude Passionate about mentoring team members, helping them improve their ML engineering skills and grow their careers Experienced with the full ML More ❯

knowledge of Transformer (and other Deep Learning) Architectures, data lake architectures, data integration, and data governance, and at least 2 years of experience with cloud-based AI/ML technologies (such as tools from AWS, Azure, Google, HuggingFace, OpenAI and Databricks) building ML or applied AI solutions. • A passion for Generative AI, and an understanding of strengths and weaknesses … of Generative LLM's • Fundamental knowledge of ML, and basic knowledge of AI, NLP, and Large Language Models (LLM) • Comfortable working with Python and Jupyter Notebooks • Should have in-depth knowledge and familiarity with cloud platforms like Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure. Technical Skills – Good to have: • Expertise in any one framework (TensorFlow, Pytorch … Keras) • Experience in a statistical programming language (e.g. R or Python) and applied machine learning and AI techniques (i.e computer vision, deep learning, conversational AI, and natural language processing frameworks.) • Experience with Transforms Architecture Design, specializing LLM (Zero/Few Shot Training) or any POC to create SML • Expertise in optimizing AI solutions for runtime cost. • Expertise More ❯

will focus on developing alpha signal generation pipelines from data ingestion and feature engineering to model training and deployment - in collaboration with our trading and infrastructure teams. Responsibilities: Develop ML-based alpha generation models using high-frequency order book and market microstructure data. Design and maintain data pipelines, preprocessing, and feature extraction workflows tailored to streaming tick data. Research and … live evaluation, and monitoring. Hard Skills Requirements: Degree in Computer Science, Machine Learning, Applied Mathematics, or similar quantitative discipline. Strong programming skills in Python and familiarity with ML libraries. Proven track record applying ML/DL to real-world problems. Familiarity with time-series modeling, signal extraction, or high-frequency data. Experience in developing ML infrastructure (data pipelines … experiment tracking, versioning). Nice to have requirements: Experience in finance, trading, or quantitative research (not required). Publications, competition results (e.g., Kaggle, academic ML contests), or open-source contributions. Familiarity with C++, CUDA, or low-latency systems. Here is why you should join our dynamic team: Opportunity to work at one of the world's leading algorithmic trading firms More ❯

changing initiatives that use cutting-edge computer vision and deep learning at scale to shape the future of sports, from professional teams to local high schools. At Hudl, ML Engineers: Deliver for customers at scale. You'll contribute to ML models and systems on both cloud and edge environments, scaling to thousands of simultaneous sports matches. Collaborate. You'll … PyTorch, MLOps (automated re-training, drift monitoring) TensorRT, Nvidia DeepStream/Gstreamer, and AWS. A proven track record. You know how to focus on products, delivering impactful AI/ML products through close collaboration with partners. Strong communicator. You can easily and clearly express yourself. You're able to convey technical concepts and trade-offs to cross-functional stakeholders Growth … gives you the chance to identify the best solution while balancing quality, consistency and value to customers. Nice-to-Haves Sports industry experience. If you've used AI/ML in sports to generate data and/or create insights, that's a plus. Video experience. You know how to run video encoding, decoding, and transmission at scale (e.g. HLS More ❯

Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role: To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers, and technologists at the forefront of financial … innovation. Your Role Design, build, and deploy state-of-the-art ML models for alpha generation, portfolio construction, pricing, and risk management Lead ML research initiatives and contribute to long-term modeling strategy across asset classes Architect robust data pipelines and scalable model infrastructure for production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes … Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software developers What We're Looking For Required: 7+ years of experience in a quant/ML engineering or research role within a financial institution, hedge fund More ❯

Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role:To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers, and technologists at the forefront of financial … innovation. Your Role Design, build, and deploy state-of-the-art ML models for alpha generation, portfolio construction, pricing, and risk management Lead ML research initiatives and contribute to long-term modeling strategy across asset classes Architect robust data pipelines and scalable model infrastructure for production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes … Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software developers What We're Looking For Required: 7+ years of experience in a quant/ML engineering or research role within a financial institution, hedge fund More ❯

Role - Machine Learning Engineer Location Hybrid, 1 day on site in London (with flex) Salary - £70,000 to £75,000 The Opportunity Were partnering with a client in the financial services sector who are looking to bring on a Machine Learning Engineer to their growing Intelligent Automation Team of 50 click apply for full job details More ❯

revenue from taxing and increase throughput rate We are seeking a skilled Computer Vision Data Scientist to join our team and lead the integration of machine learning (ML) models into the ScanApp application. The ideal candidate will possess a strong background in Python, computer vision, and deep learning, as well as experience with large language models (LLMs … models, setting up in-house infrastructure, and ensuring seamless integration with the ScanApp. Key Responsibilities: Collaborate with cross-functional teams to understand ScanApp requirements and translate them into robust ML models. Develop, train, and optimise computer vision and deep learning models using Python and popular libraries (e.g., TensorFlow, PyTorch). Integrate ML models into the ScanApp application, ensuring compatibility … and scalability. Utilize knowledge of LLMs to enhance model outputs and improve user experience for Border Force officers. Establish and maintain efficient, reliable, and secure in-house ML infrastructure, either by adapting code from the trial phase or devising new solutions based on trial learnings. Conduct thorough model testing, validation, and iteration to ensure accuracy, reliability, and performance. Strong Stakeholder More ❯

names – no worrying about how to explain what you do to your family again! In this role you will:? Lead, motivate and inspire teams of Data Scientists? Create bespoke machine learning solutions to model/solve problems and to help develop the team Solve challenging business problems using advanced machine learning methods such as Deep Learning … Understand business requirements and support the development of business cases Run discovery analytics to identify new and innovative opportunities Partner with developers and engineers to deploy, embed and scale machine learning models to deliver complex/critical projects? Devise reusable assets, solutions and develop best practices for current and future business problems Lead analytical discussions and influence analytical More ❯

and intelligence and we’re looking for a Senior AI Engineer to help drive that innovation. In this pivotal role, you’ll design, develop, and deploy advanced AI and machine learning solutions that power our next generation of products and research capabilities. Collaborating closely with our architecture, research, analytics, and product teams, you’ll bring creativity and technical … metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines . Build LLM apps using LangGraph/LangChain : tools/function calling, structured outputs (JSON Schema), agents, and multi-step reasoning. Implement ASR/TTS … multimodal where relevant (e.g., Whisper ). Choose customization paths pragmatically: prompt engineering , system prompts, tools, adapters/LoRA, and selective fine-tuning only when needed. Fine-tune and optimize ML models and LLMs to enhance performance, efficiency, and relevance for Chambers’ research, analytics, and product applications. Apply best practices for model adaptation, evaluation, and deployment, ensuring solutions are scalable, reliable More ❯

We are looking for a Senior Machine Learning Engineer to join our growing engineering team. You're the perfect fit for this role if you are … passionate about solving problems in NLP, have a great appreciation for science and want to transform how it is done. You Will: Continuously improve the performance and scalability of ML models that are at the core of BenchSci's products Build and deploy models from inception to live in production pipelines Work with BenchSci's Product Managers and Scientists to … three years of experience in the industry Strong experience with TensorFlow, PyTorch, and image processing libraries such as OpenCV and scikit-image Experience with data processing frameworks and Cloud ML Tooling You have a constant desire to grow and develop You have strong cross-team communication and collaboration skills A team player who strives to see teammates succeed together Benefits More ❯

advanced AI techniques to solve real-world public-sector challenges. This role is ideal for someone with a MSc/PhD or equivalent research and implementation experience in AI, machine learning, or related disciplines, who enjoys working across the boundaries of research, engineering, and consulting. Youll work with their consultants, engineers, and designers to prototype and deliver intelligent … learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance More ❯

advanced AI techniques to solve real-world public-sector challenges. This role is ideal for someone with a MSc/PhD or equivalent research and implementation experience in AI, machine learning, or related disciplines, who enjoys working across the boundaries of research, engineering, and consulting. Youll work with their consultants, engineers, and designers to prototype and deliver intelligent … learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance More ❯

advanced AI techniques to solve real-world public-sector challenges. This role is ideal for someone with a MSc/PhD or equivalent research and implementation experience in AI, machine learning, or related disciplines, who enjoys working across the boundaries of research, engineering, and consulting. Youll work with their consultants, engineers, and designers to prototype and deliver intelligent … learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance More ❯

advanced AI techniques to solve real-world public-sector challenges. This role is ideal for someone with a MSc/PhD or equivalent research and implementation experience in AI, machine learning, or related disciplines, who enjoys working across the boundaries of research, engineering, and consulting. You’ll work with their consultants, engineers, and designers to prototype and deliver … learning principles (preferably with a MSc or equivalent experience) Hands-on experience building and deploying Agentic AI or multi-agent systems Proficiency in Python and popular AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, Hugging Face) Familiarity with LLM fine-tuning, reasoning, and retrieval-augmented generation (RAG) techniques Experience integrating AI models into production systems or orchestration platforms Strong … unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Artificial intelligence large language models AI machine learning Agentic AI multi-agent Python AI/ML PyTorch TensorFlow LangChain Hugging Face LLM retrieval augmented generation RAG AI models orchestration platforms Public sector SC Security Clearance agent architectures ReAct AutoGen CrewAI BabyAGI reasoning loops memory systems governance More ❯

a fast-growing technology company based in London, dedicated to building innovative solutions that transform the way people and businesses interact with data. With a strong focus on AI, machine learning, and advanced analytics, they are tackling complex challenges and driving data-led decision-making across their industry. The Opportunity: We are partnering with our client to find … opportunity to join a collaborative team where you'll work alongside engineers, product managers, and business stakeholders to shape data-driven products and strategies. Key Responsibilities: Develop and implement machine learning models and algorithms to solve real-world business challenges. Collaborate with cross-functional teams to identify opportunities where data science can create value. Conduct statistical analysis and … into clear and actionable recommendations for both technical and non-technical audiences. Ensure data quality and integrity while building scalable solutions. Stay current with the latest developments in AI, machine learning, and data science methodologies. Experienced Needed: Masters or PhD in a STEM subject Proficiency in Python, with experience in libraries such as pandas, scikit-learn, TensorFlow, or More ❯

transforms products, processes, and customer experiences. What You'll Do Develop and implement a comprehensive AI roadmap aligned with business objectives. Design and oversee scalable AI systems, including advanced machine learning models, automation tools, and generative AI applications. Build and manage a high-performing team of AI engineers, data scientists, and product specialists. Collaborate with senior stakeholders to … organisation externally as a thought leader in AI, engaging with industry forums and technology communities. What We're Looking For Advanced academic background (PhD or MSc) in Computer Science, Machine Learning, AI, or related discipline. Proven track record of leading AI initiatives in a complex or regulated environment. Strong technical expertise in machine learning, NLP, and More ❯

transforms products, processes, and customer experiences. What You'll Do Develop and implement a comprehensive AI roadmap aligned with business objectives. Design and oversee scalable AI systems, including advanced machine learning models, automation tools, and generative AI applications. Build and manage a high-performing team of AI engineers, data scientists, and product specialists. Collaborate with senior stakeholders to … organisation externally as a thought leader in AI, engaging with industry forums and technology communities. What We're Looking For Advanced academic background (PhD or MSc) in Computer Science, Machine Learning, AI, or related discipline. Proven track record of leading AI initiatives in a complex or regulated environment. Strong technical expertise in machine learning, NLP, and More ❯

AI Environment Location: London (onsite) Type: Full-time | Permanent Salary: Up to £120k total compensation About Us We’re an ambitious technology company using advanced Machine Learning (ML) and Natural Language Processing (NLP) to power next-generation products. Until now, our AI projects have relied on third-party engines deployed via Docker — but it’s time to take … make that happen, we’re looking for an AI Infrastructure Lead — someone with the technical depth and vision to architect, implement, and scale an environment capable of supporting multiple ML and NLP initiatives across the business. The Role As our first senior AI hire, you’ll take ownership of designing and building the foundation of our AI ecosystem. You’ll … workflows for training, deploying, and monitoring models. Integrate and manage containerized AI engines (Docker/Kubernetes). Establish best practices for model versioning, data pipelines, and reproducibility. Collaborate with ML and NLP researchers to optimize infrastructure for experimentation. Set up CI/CD pipelines, monitoring tools, and scalable compute infrastructure. Lead future recruitment and mentoring of additional AI engineers. Skills More ❯

and is already very profitable. Data Scientist We are looking for an exceptional Data Scientist to join us at this exciting time as we build on our growth. Our machine learning algorithms literally need to be outstanding for our clients to use us. As an early joiner, the Data Scientist role is key, and provides multiple opportunities for … power of algorithms, improving client insights available through the user interface, or streamlining and automating data refresh processes. What you'll be working on Building and improving price optimisation machine learning pipelines including data validation, classification, clustering, predictive modelling, neural networks, statistical model evaluation, optimisation, and process automation. Preparing presentations for clients based on data and market insights … spirit and drive to work in an early stage start-up A curious mindset to understand how we can improve things and better help our clients address commercial challenges Machine learning experience Nice to haves Comfortable working with large datasets of over 10 million rows Data engineering experience to speed up pipeline running Experience of pricing analytics and More ❯